Motorcycle cornering simulator.
Change speed, corner radius and braking demand to visualize lateral acceleration, approximate lean demand and combined acceleration. This is a simplified physics model — not a Pacerift measurement and not a tire, suspension or rider model.
At a steady corner, lateral acceleration grows with the square of speed and falls as corner radius increases. The idealized relationship is alat = v²/r, with approximate roll demand θ = arctan(alat/g).
What the numbers mean.
Why does speed matter so much?
Lateral acceleration is proportional to the square of speed. Doubling speed at the same radius therefore requires roughly four times the lateral acceleration in this simplified model.
Does lean angle alone tell me who is faster?
No. Lean is only one part of cornering dynamics. Entry speed, brake release, line, throttle timing, tire behavior, rider position and corner exit all matter.
Why is this different from a lean-angle sensor?
The simulator uses idealized equations. A telemetry system uses measured signals and an estimation pipeline; a dedicated chassis-mounted sensor can also provide a more rigid reference frame.